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2023/24 Taught Postgraduate Programme Catalogue

MSc Health Informatics with Data Science (Part-time)

Programme code:MSC-HI/DS-PTUCAS code:
Duration:36 Months Method of Attendance: Part Time
Programme manager:Wendy Harrison Contact

Total credits: 180

Entry requirements:

• First degree in a relevant subject e.g. Social Sciences, STEMM, Nursing (or equivalent) 2:1 OR previous work experience (minimum 2 years) of handling and/or analysing data
• IELTS 7 – minimum of 6.5 in each component

School/Unit responsible for the parenting of students and programme:

Leeds Institute of Health Sciences, School of Medicine

Examination board through which the programme will be considered:

School of Medicine Postgraduate Programmes Assessment Board

Programme specification:

• The content of the programme will be driven by ‘real-world problems’ and delivered in a problem-centred approach

• Students will be working with ‘real world’ health data

• A multidisciplinary approach to accessing and using routine health data for research and patient benefit

• It takes a patient centred approach to evidence and to quality improvement for health professionals and others accessing and using health data

• Research led teaching from a core of staff with a track record of funded applied health research

• A teaching team with a strong track record in providing support to those returning to education to further their career development, including CPD.

• A higher maths qualification/specialism not essential as pre-entry online self-assessed refresher courses will be available in statistics and introduction to python software.

Year1 - View timetable

[Learning Outcomes, Transferable (Key) Skills, Assessment]

Compulsory modules:

Candidates will be required to study the following compulsory module:

YCHI5081MStatistics and Modelling for Health Sciences15 credits1 Nov to 31 Jan
YCHI5082MFoundations of Health Data15 credits01 Oct to 31 Dec
YCHI5085MInformatics and Data Science in Health Care and Research15 creditsSemester 1 (Sep to Jan)
YCHI5086MLaw, Ethics and Governance for Health Data Science15 credits1 Jan to 31 Mar

Optional modules:

Year2 - View timetable

[Learning Outcomes, Transferable (Key) Skills, Assessment]

Compulsory modules:

YCHI5083MHuman Factors in Health Data Science15 credits1 Mar to 31 May
YCHI5087MArtificial Intelligence and Machine Learning in Health15 creditsSemester 2 (Jan to Jun)

Optional modules:

Candidates will be required to study 30 credits from the following modules.

HECN5010MPrinciples of Health Economics15 creditsNot running in 202324
HECN5020MEconomic Evaluations for Health Technology Assessment15 creditsNot running in 202324
MEDR5260MIntroduction to Health Economics15 creditsSemester 2 (Jan to Jun)
NUFF5065MKey Issues in International Health15 credits1 Sep to 31 Oct
NUFF5550MMonitoring and Evaluation of Health Programmes15 credits01 Jun to 30 Jun (1mth)
NUFF5610MHealth Promotion15 credits1 Apr to 31 May
YCHI5075MSpatial Analytics and Visualisation for Health15 creditsNot running in 202324
YCHI5084MVisualisation for Health Data15 credits1 Dec to 31 Jan

Year3 - View timetable

[Learning Outcomes, Transferable (Key) Skills, Assessment]

Compulsory modules:

Candidates will be required to study the following compulsory module:

YCHI5090MMSc Health Informatics Project60 credits1 Jan to 30 Sep

Last updated: 20/04/2023 14:10:25


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